{"id":"https://openalex.org/W2989043317","doi":"https://doi.org/10.1109/igarss.2019.8897891","title":"Automatic Sub-Images Extraction from Entire Urban SAR Scenes Based on the Clustering-Based Algorithm and Graph Traversal Methods","display_name":"Automatic Sub-Images Extraction from Entire Urban SAR Scenes Based on the Clustering-Based Algorithm and Graph Traversal Methods","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2989043317","doi":"https://doi.org/10.1109/igarss.2019.8897891","mag":"2989043317"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8897891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100740669","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-2388-2822"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004036087","display_name":"Ran Cheng","orcid":"https://orcid.org/0000-0001-9410-8263"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Cheng","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053820108","display_name":"Yesheng Gao","orcid":"https://orcid.org/0000-0002-6254-886X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yesheng Gao","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074129836","display_name":"Xue Jiang","orcid":"https://orcid.org/0000-0001-7099-6817"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Jiang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102863572","display_name":"Bin Yuan","orcid":"https://orcid.org/0000-0002-6699-5085"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yuan","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100449346","display_name":"Ye Zhang","orcid":"https://orcid.org/0000-0003-0709-3767"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061319150","display_name":"Xingzhao Liu","orcid":"https://orcid.org/0000-0002-4533-3904"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzhao Liu","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100740669"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18005971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"334","issue":null,"first_page":"8602","last_page":"8605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7908833622932434},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.7758662700653076},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7085685729980469},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.630207896232605},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.6183977127075195},{"id":"https://openalex.org/keywords/graph-traversal","display_name":"Graph traversal","score":0.6066998839378357},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5255521535873413},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5081243515014648},{"id":"https://openalex.org/keywords/connected-component","display_name":"Connected component","score":0.46870535612106323},{"id":"https://openalex.org/keywords/connected-component-labeling","display_name":"Connected-component labeling","score":0.45606812834739685},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4469194710254669},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41949260234832764},{"id":"https://openalex.org/keywords/radar-imaging","display_name":"Radar imaging","score":0.41481876373291016},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39082634449005127},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38950344920158386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38622570037841797},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.30728617310523987},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.18369397521018982},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12872466444969177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7908833622932434},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.7758662700653076},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7085685729980469},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.630207896232605},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.6183977127075195},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.6066998839378357},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5255521535873413},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5081243515014648},{"id":"https://openalex.org/C193435613","wikidata":"https://www.wikidata.org/wiki/Q2997928","display_name":"Connected component","level":2,"score":0.46870535612106323},{"id":"https://openalex.org/C58737948","wikidata":"https://www.wikidata.org/wiki/Q3136397","display_name":"Connected-component labeling","level":5,"score":0.45606812834739685},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4469194710254669},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41949260234832764},{"id":"https://openalex.org/C10929652","wikidata":"https://www.wikidata.org/wiki/Q7279985","display_name":"Radar imaging","level":3,"score":0.41481876373291016},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39082634449005127},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38950344920158386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38622570037841797},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.30728617310523987},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.18369397521018982},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12872466444969177},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8897891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8897891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.8299999833106995}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2027682855","https://openalex.org/W2047254338","https://openalex.org/W2124260943","https://openalex.org/W2129348473","https://openalex.org/W2136453532","https://openalex.org/W2138436914","https://openalex.org/W2165835468","https://openalex.org/W2166905185","https://openalex.org/W2321267122","https://openalex.org/W2579020449","https://openalex.org/W3145128584","https://openalex.org/W4246219036","https://openalex.org/W7029321148"],"related_works":["https://openalex.org/W2200188075","https://openalex.org/W4252596799","https://openalex.org/W4254594467","https://openalex.org/W4230405657","https://openalex.org/W244044452","https://openalex.org/W2552915643","https://openalex.org/W3213135344","https://openalex.org/W170547082","https://openalex.org/W3183956626","https://openalex.org/W2066086748"],"abstract_inverted_index":{"In":[0],"processing":[1],"of":[2,25,38,74,83,110],"large":[3],"scene":[4],"synthetic":[5],"aperture":[6],"radar":[7,40],"(SAR)":[8],"images,":[9],"the":[10,23,35,47,61,69,75,93,107],"first":[11],"step":[12],"is":[13,32],"to":[14,21,46,90],"split":[15,98],"them":[16],"into":[17],"tiles":[18],"in":[19,34],"order":[20],"reduce":[22],"load":[24],"computer's":[26],"computation":[27],"effort":[28],"and":[29,63,68],"memory,":[30],"which":[31,78,104],"crucial":[33],"follow-up":[36],"procedures":[37],"building":[39],"footprints":[41],"detection":[42],"or":[43],"reconstruction.":[44],"Compared":[45],"traditional":[48],"cockamamie":[49],"gridding":[50],"method,":[51,92],"we":[52],"propose":[53],"an":[54],"automatic":[55,115],"sub-images":[56],"extraction":[57],"approach":[58],"based":[59],"on":[60],"density":[62],"distance-based":[64],"(DD)":[65],"clustering":[66],"algorithm":[67,73],"connected-component":[70],"labeling":[71],"(CCL)":[72],"graph":[76],"theory":[77],"can":[79,96,105],"avoid":[80],"a":[81],"mass":[82],"unnecessary":[84],"least":[85],"error":[86],"finding":[87],"work.":[88],"According":[89],"our":[91],"original":[94],"image":[95],"be":[97],"without":[99],"introducing":[100],"excessive":[101],"subjective":[102],"operation,":[103],"remain":[106],"primary":[108],"information":[109],"buildings'":[111],"images":[112],"efficiently.":[113],"Meanwhile,":[114],"area":[116],"searching":[117],"reduces":[118],"manpower":[119],"effectively.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
